I have a string S and a list of strings allItems, allItems contains strings that may have common “sub-words” but one element is never an extension of another: My goal is to find every match or approximate match of a string in allItems in S alongside their index(can be start or end, or ideally both). I’ve been searching for some
Tag: string-matching
print strings of one dataframe contained in another dataframe
I have two dataframes: one dataframe consists of two columns (‘good’ and bad’) and another one that contains text data. Now I would like to retrieve exact string matches of words that are in the dictionary and are contained in col1 of df_text and assign the string match to the second column of df_text. I tried .isin(), however this code
Returning entries from a data set that contain a specific string in Python
I have a data set called df with the information of the name of the Drugs that has been administered. The column “drug_name” consists of all the various drug names. I would like to extract entries that only contain a specific name of the drugs. I have tried the .str.contain method df_adr= df[df[“drug_name”].str.contains(“epinephrine”)==True] This works but the problem is it
Join two data frames by searching & matching exactly same strings
I have two python dataframes: one of them have a column has a row ‘AC-2’ another data frame includes columns which has a string row ‘AC-20,AC8,AC-15’ First dataset: second dataset: I found: above there is a matching between AC-2 for dataset1 and AC-20 in string for dataset 2 but they are different thing in my dataset. my desired output: I
How to check if a substring in a pandas dataframe column exists in a substring of another column in the same dataframe?
I have a dataframe with columns like this: I want to create a list with values from A that matches values from B. The list should look like [- 5923FoxRd, Saratoga Street, Suite 200…]. What is the easiest way to do this? Answer To make a little go a long way, do the following: Create a new series for each